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Decision Tree
Ver como obter as percentagens de confiança das predicts para criar o ficheiro de submissão do kaggle
Data analysis
Analisar dados:
- Describes
- Gráficos
- Features com mais correlações
- [adicionar mais]
Objetivo final: Ter uma tabela com imensas features que depois serão escolhidas em #5
Automatic Kaggle Submission
Código Python que submeta automaticamente no Kaggle
Criar outros Models
Models a fazer:
- Decision Tree (#3)
- Random Tree/Forest
- SVM
- Naive Bayes
- Nearest Neighbours
- [Neural Networks]
Criar ficheiro csv para submissão no kaggle
Adicionar código no final do notebook do modelo que crie o ficheiro csv correto.
Coluna com loan_id com header Id e coluna com % de certeza de que pode fazer um loan com header Predicted. Atenção para os headers estarem corretos: capitalização e trailing spaces
Feature Selection/Engineering
Arranjar métodos de feature selection:
Report para Leonor
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